Senior Product Manager - Datacenter GPU




Multiple Locations


Position summary

and leadership.

What you'll be doing:

  • Lead one of the Data Center GPU product lines through the complete life cycle from idea to development to go-to-market

  • Define use cases, server architecture, data center architecture, NVIDIA software stack and the total solution value proposition

  • Drive complete solution optimized for variety of data center deployments

  • Envision the next generation of Cloud, Enterprise and Edge AI by designing product hardware, software and system requirements

  • Work with partners and lead customers to ensure product success

  • Bring together requirements for next-generation products including competitive analysis and customer feedback

  • Position our solutions to a variety of audience-ranging from the technically savvy to the novice

  • Lead multi-functional teams across engineering, operations, sales and marketing

  • Develop and review customer-ready collateral based on engineering or technical documents e.g. Whitepapers, Product Specifications, etc.

What we need to see:

  • Bachelor's degree or equivalent experience in Electrical Engineering, Computer Engineering or related Engineering field.

  • 12+ years of relevant work experience.

  • Ideal candidates will have validated experience working as a technical product manager or solution architect for a product with cloud and enterprise data centers as end-users

  • Experience taking a product through a full life cycle: from inception, to launch, to customer management

  • Strong analytical, marketing and project management skills - a drive for results and a history of successful execution on projects

  • Phenomenal balance of deep technical and business knowledge

  • Self-starter, hands-on demeanor in a dynamic environment

  • Excellent communication and presentation abilities

  • Passion for and solid understanding of building innovative products/technologies!

Ways to stand out from the crowd:

  • Strong enterprise and cloud data center platform expertise

  • Expertise in AI and ML hardware and software

  • Familiarity with GPU architectures

GPU computing is the most productive and pervasive platform for deep learning and AI. It begins with the most advanced GPUs and the systems and software we build on top of them. We integrate and optimize every deep learning framework. We work with the major systems companies and every major cloud service provider to make GPUs available in data centers and in the cloud, and we create computers and software to bring AI to edge devices, such as self-driving cars and autonomous robots.